| 840 | result[f"p{p_word}_{metric_attribute_name}_ms"] = value |
| 841 | |
| 842 | def process_one_length( |
| 843 | # E.g., "ttft" |
| 844 | metric_attribute_name: str, |
| 845 | # E.g., "TTFT" |
| 846 | metric_name: str, |
| 847 | # E.g., "Time to First Token" |
| 848 | metric_header: str, |
| 849 | ): |
| 850 | # This function prints and adds statistics of the specified |
| 851 | # metric. |
| 852 | if metric_attribute_name not in selected_percentile_metrics: |
| 853 | return |
| 854 | print("{s:{c}^{n}}".format(s=metric_header, n=50, c="-")) |
| 855 | print( |
| 856 | "{:<40} {:<10.2f}".format( |
| 857 | f"Mean {metric_name}:", |
| 858 | getattr(metrics, f"mean_{metric_attribute_name}"), |
| 859 | ) |
| 860 | ) |
| 861 | print( |
| 862 | "{:<40} {:<10.2f}".format( |
| 863 | f"Median {metric_name}:", |
| 864 | getattr(metrics, f"median_{metric_attribute_name}"), |
| 865 | ) |
| 866 | ) |
| 867 | result[f"mean_{metric_attribute_name}"] = getattr(metrics, f"mean_{metric_attribute_name}") |
| 868 | result[f"median_{metric_attribute_name}"] = getattr(metrics, f"median_{metric_attribute_name}") |
| 869 | result[f"std_{metric_attribute_name}"] = getattr(metrics, f"std_{metric_attribute_name}") |
| 870 | for p, value in getattr(metrics, f"percentiles_{metric_attribute_name}"): |
| 871 | p_word = str(int(p)) if int(p) == p else str(p) |
| 872 | print("{:<40} {:<10.2f}".format(f"P{p_word} {metric_name}:", value)) |
| 873 | result[f"p{p_word}_{metric_attribute_name}"] = value |
| 874 | |
| 875 | process_one_length("s_decode", "Decode", "解码速度(tok/s)") |
| 876 | process_one_metric("ttft", "TTFT", "Time to First Token") |